Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "181" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 55 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 53 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459870 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.003493 | -1.406880 | 0.377136 | -0.856007 | -0.170738 | 3.935577 | 0.881232 | 8.806259 | 0.7164 | 0.6921 | 0.3805 | nan | nan |
| 2459869 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.493863 | -2.008465 | 0.189381 | -1.040701 | -0.749544 | 1.551918 | -0.099169 | 3.281023 | 0.7203 | 0.7083 | 0.3780 | nan | nan |
| 2459868 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.001751 | -1.074135 | -0.012069 | -1.024353 | 0.830003 | 0.756779 | 0.955994 | 11.396743 | 0.7036 | 0.6814 | 0.3957 | nan | nan |
| 2459867 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.193659 | -0.924563 | 0.304513 | -0.993700 | -0.769034 | 0.138519 | 0.072749 | 7.795533 | 0.7187 | 0.6900 | 0.3955 | nan | nan |
| 2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.134150 | -0.945086 | 0.403816 | -0.971637 | -0.057335 | 1.312871 | 2.161133 | 5.184145 | 0.7174 | 0.6890 | 0.3883 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.121722 | -0.390653 | 17.407561 | 4.782063 | -0.751261 | 1.287153 | 3.079019 | 3.885266 | 0.7382 | 0.7100 | 0.3686 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.473066 | -0.612454 | 22.097550 | 14.907431 | 3.431447 | 1.304263 | -3.827742 | 10.585612 | 0.7150 | 0.6928 | 0.4131 | nan | nan |
| 2459863 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.997908 | -1.456112 | 3.432690 | 0.951426 | 0.000096 | -0.835253 | -3.339874 | 3.724253 | 0.7113 | 0.6847 | 0.4033 | nan | nan |
| 2459862 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.947614 | -0.917276 | 26.670130 | 17.839675 | 5.271657 | 2.613058 | -1.739632 | 2.734430 | 0.6850 | 0.6979 | 0.4250 | nan | nan |
| 2459861 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.618291 | -1.372656 | 2.135432 | -0.393777 | -0.669216 | -1.418669 | -3.331065 | 2.473790 | 0.7194 | 0.6863 | 0.4147 | nan | nan |
| 2459860 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.706845 | -0.581650 | 20.331596 | 13.876195 | 7.441272 | 2.448081 | -2.306496 | 2.263337 | 0.7243 | 0.6908 | 0.4097 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.501698 | -1.341458 | 2.201745 | -0.328453 | -0.160241 | -1.183446 | -2.352625 | 1.681674 | 0.7285 | 0.6982 | 0.4067 | nan | nan |
| 2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.507260 | -1.401916 | 1.887293 | -0.669933 | -0.600791 | -1.066337 | -3.606210 | 2.344892 | 0.7389 | 0.7007 | 0.4188 | 1.458903 | 1.333664 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 27.919253 | 16.092330 | -0.123385 | -2.724023 | 17.833490 | 4.664330 | 1.978537 | 7.606990 | 0.0298 | 0.0279 | 0.0011 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.934004 | -0.682091 | 18.754474 | 12.742371 | 3.294148 | 1.365252 | -2.211175 | 2.419066 | 0.7278 | 0.7148 | 0.4027 | 2.907019 | 2.831865 |
| 2459855 | digital_ok | 100.00% | 100.00% | 98.08% | 0.00% | 100.00% | 0.00% | 16.786825 | 63.561314 | 24.606318 | 6.123187 | 2.767411 | 8.312054 | 2.329897 | 5.563559 | 0.0448 | 0.1905 | 0.0941 | 1.200527 | 1.554759 |
| 2459854 | digital_ok | 100.00% | 100.00% | 94.90% | 0.00% | 100.00% | 0.00% | 16.808875 | 64.617053 | 18.858252 | 5.802556 | 3.952652 | 6.554047 | 4.804446 | 11.211004 | 0.0452 | 0.2158 | 0.1148 | 1.200963 | 1.583945 |
| 2459853 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.024416 | 52.404962 | 25.592433 | 7.054299 | 7.043945 | 11.964166 | 3.708083 | 17.402218 | 0.0469 | 0.2016 | 0.1022 | 1.218603 | 1.707826 |
| 2459852 | digital_ok | 100.00% | 100.00% | 54.05% | 0.00% | 100.00% | 0.00% | 13.370008 | 56.791628 | 26.419293 | 3.046397 | 15.651503 | 21.168395 | 16.781306 | 14.166232 | 0.0421 | 0.4162 | 0.2226 | 1.187544 | 2.549062 |
| 2459851 | digital_ok | 100.00% | 99.36% | 88.08% | 0.00% | 100.00% | 0.00% | 10.979559 | 50.758409 | 27.109566 | 6.833385 | 21.524150 | 40.109085 | 13.623584 | 25.710256 | 0.0732 | 0.2719 | 0.1172 | 1.225342 | 1.620915 |
| 2459850 | digital_ok | 100.00% | 100.00% | 83.53% | 0.00% | 100.00% | 0.00% | 13.381121 | 56.337236 | 23.435760 | 5.938853 | 10.339963 | 20.939777 | 6.848332 | 21.511108 | 0.0492 | 0.3229 | 0.1787 | 1.194352 | 1.563630 |
| 2459849 | digital_ok | 100.00% | 100.00% | 85.22% | 0.00% | 100.00% | 0.00% | 15.576977 | 61.428683 | 47.277744 | 13.103098 | 7.106746 | 16.262246 | 3.991316 | 10.828909 | 0.0445 | 0.2993 | 0.1688 | 1.172317 | 1.576128 |
| 2459848 | digital_ok | 100.00% | 100.00% | 84.40% | 0.00% | 100.00% | 0.00% | 14.164193 | 55.048873 | 30.395939 | 8.693937 | 14.331606 | 22.916508 | 3.239066 | 8.759806 | 0.0452 | 0.2887 | 0.1691 | 1.192583 | 1.532454 |
| 2459847 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 16.284678 | 58.917504 | 28.368176 | 8.223404 | 21.836539 | 11.873660 | 1.446482 | 12.660461 | 0.0415 | 0.2197 | 0.1294 | 1.202176 | 1.611653 |
| 2459845 | digital_ok | 100.00% | 100.00% | 87.89% | 0.00% | 100.00% | 0.00% | 18.006330 | 68.606850 | 40.230917 | 12.402455 | 10.121049 | 17.617778 | 2.151433 | 8.997816 | 0.0535 | 0.2655 | 0.1677 | 1.275239 | 1.910309 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.595070 | 19.310930 | 7.749107 | 10.616789 | 3.276257 | 12.813566 | 9.555749 | 10.542098 | 0.0369 | 0.0269 | 0.0081 | nan | nan |
| 2459843 | digital_ok | 100.00% | 100.00% | 91.27% | 0.00% | 100.00% | 0.00% | 18.689465 | 74.431790 | 19.553065 | 5.562075 | 64.417138 | 12.611812 | 1.885600 | 6.738339 | 0.0474 | 0.2608 | 0.1527 | 1.245310 | 1.793793 |
| 2459842 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 11.051764 | 40.444500 | 9.024093 | -2.063640 | -0.086833 | 4.149220 | 0.982997 | 2.746680 | 0.0434 | 0.2221 | 0.0972 | 1.319640 | 2.064047 |
| 2459841 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.561934 | 24.694923 | 5.383451 | 7.947861 | 4.448146 | 19.624368 | 7.612694 | 9.454406 | 0.0393 | 0.0281 | 0.0139 | nan | nan |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | 0.483642 | 1.197900 | 1.209881 | 0.339982 | 3.619752 | 7.749533 | 8.223319 | 7.824970 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 17.717871 | 59.409662 | 22.828250 | 8.675427 | 20.017337 | 23.346423 | 1.680786 | 5.609399 | 0.0447 | 0.2460 | 0.1070 | 0.844462 | 1.311428 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0413 | 0.0713 | 0.0014 | nan | nan |
| 2459835 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.331202 | -0.528327 | 2.494696 | 1.034823 | 0.025540 | 2.908447 | 0.494014 | 10.847785 | 0.0390 | 0.0721 | 0.0011 | nan | nan |
| 2459833 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 5.194868 | 10.770059 | 3.753900 | 5.140727 | 3.402081 | 22.385484 | 8.935116 | 53.419160 | 0.0576 | 0.0486 | 0.0052 | nan | nan |
| 2459832 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459831 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.170142 | 0.567378 | 1.096468 | 0.274095 | 1.175783 | 2.901261 | 5.192935 | 5.291149 | 0.0767 | 0.0994 | 0.0118 | nan | nan |
| 2459830 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 33.577095 | 82.167161 | 36.321250 | 7.407145 | 39.969056 | 32.927723 | 5.754150 | 7.186355 | 0.0455 | 0.3155 | 0.1504 | 1.291529 | 3.084100 |
| 2459829 | digital_ok | 100.00% | 100.00% | 98.93% | 0.00% | 100.00% | 0.00% | 30.790504 | 98.235320 | 29.600012 | 8.540334 | 28.972621 | 22.676954 | 7.744878 | 12.046667 | 0.0431 | 0.2670 | 0.1165 | 1.054754 | 1.881540 |
| 2459828 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 27.201615 | 67.281480 | 31.856792 | 5.128245 | 36.768153 | 32.677817 | 12.127891 | 16.123007 | 0.0459 | 0.3084 | 0.1481 | 0.000000 | 0.000000 |
| 2459827 | digital_ok | 100.00% | 100.00% | 96.78% | 0.00% | 100.00% | 0.00% | 24.410956 | 69.687964 | 35.985371 | 11.048916 | 24.731103 | 23.762066 | 1.090610 | 6.247627 | 0.0430 | 0.2525 | 0.0986 | 0.000000 | 0.000000 |
| 2459826 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 25.732457 | 60.965462 | 40.274811 | 7.330228 | 49.123572 | 47.261068 | 7.751448 | 5.867358 | 0.0452 | 0.3100 | 0.1374 | 0.000000 | 0.000000 |
| 2459825 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 28.307427 | 63.940896 | 32.096094 | 4.769822 | 27.692186 | 27.145282 | 0.348970 | 1.696262 | 0.0424 | 0.3133 | 0.1240 | 1.286542 | 3.680199 |
| 2459824 | digital_ok | 100.00% | 100.00% | 90.98% | 0.00% | 100.00% | 0.00% | 16.568850 | 59.606338 | 25.764612 | 9.509838 | 10.795935 | 17.610964 | 2.627274 | 5.044602 | 0.0410 | 0.2354 | 0.0846 | 1.171116 | 1.822020 |
| 2459823 | digital_ok | 100.00% | 100.00% | 98.82% | 0.00% | 100.00% | 0.00% | 25.316024 | 47.979873 | 47.743096 | 4.743025 | 34.538390 | 38.948675 | 29.078752 | 29.202734 | 0.0424 | 0.2578 | 0.0978 | 1.201097 | 3.073280 |
| 2459822 | digital_ok | 100.00% | 100.00% | 91.94% | 0.00% | 100.00% | 0.00% | 26.268310 | 46.629622 | 43.747996 | 6.490886 | 30.935693 | 41.910773 | 1.123709 | 6.942986 | 0.0455 | 0.3291 | 0.1310 | 1.181540 | 3.313841 |
| 2459821 | digital_ok | 100.00% | 100.00% | 91.94% | 0.00% | 100.00% | 0.00% | 29.022402 | 68.294408 | 44.780715 | 5.633038 | 26.556899 | 27.137654 | -0.438293 | 3.346911 | 0.0448 | 0.3191 | 0.1545 | 1.185571 | 2.753985 |
| 2459820 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459817 | digital_ok | 100.00% | 100.00% | 78.49% | 0.00% | 100.00% | 0.00% | 24.307713 | 58.182172 | 43.498284 | 4.293653 | 36.460189 | 37.052517 | 1.361227 | 1.571022 | 0.0484 | 0.3286 | 0.1723 | 1.197106 | 2.381634 |
| 2459816 | digital_ok | 100.00% | 100.00% | 88.21% | 0.00% | 100.00% | 0.00% | 19.327644 | 53.458374 | 43.742599 | 6.932672 | 46.831780 | 44.135913 | 7.703082 | 9.046676 | 0.0479 | 0.3411 | 0.2022 | 1.207030 | 3.163903 |
| 2459815 | digital_ok | 100.00% | 100.00% | 67.74% | 0.00% | 100.00% | 0.00% | 22.445403 | 50.190764 | 47.555119 | 4.445810 | 47.704914 | 50.461144 | 10.839774 | 13.808556 | 0.0458 | 0.3455 | 0.1928 | 1.198052 | 2.695592 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 8.806259 | -0.003493 | -1.406880 | 0.377136 | -0.856007 | -0.170738 | 3.935577 | 0.881232 | 8.806259 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 3.281023 | -0.493863 | -2.008465 | 0.189381 | -1.040701 | -0.749544 | 1.551918 | -0.099169 | 3.281023 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 11.396743 | 0.001751 | -1.074135 | -0.012069 | -1.024353 | 0.830003 | 0.756779 | 0.955994 | 11.396743 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 7.795533 | 0.193659 | -0.924563 | 0.304513 | -0.993700 | -0.769034 | 0.138519 | 0.072749 | 7.795533 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 5.184145 | -0.945086 | 0.134150 | -0.971637 | 0.403816 | 1.312871 | -0.057335 | 5.184145 | 2.161133 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Power | 17.407561 | 0.121722 | -0.390653 | 17.407561 | 4.782063 | -0.751261 | 1.287153 | 3.079019 | 3.885266 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Power | 22.097550 | -0.612454 | 4.473066 | 14.907431 | 22.097550 | 1.304263 | 3.431447 | 10.585612 | -3.827742 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 3.724253 | 2.997908 | -1.456112 | 3.432690 | 0.951426 | 0.000096 | -0.835253 | -3.339874 | 3.724253 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Power | 26.670130 | 3.947614 | -0.917276 | 26.670130 | 17.839675 | 5.271657 | 2.613058 | -1.739632 | 2.734430 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 2.473790 | -1.372656 | 1.618291 | -0.393777 | 2.135432 | -1.418669 | -0.669216 | 2.473790 | -3.331065 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Power | 20.331596 | 2.706845 | -0.581650 | 20.331596 | 13.876195 | 7.441272 | 2.448081 | -2.306496 | 2.263337 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Power | 2.201745 | 1.501698 | -1.341458 | 2.201745 | -0.328453 | -0.160241 | -1.183446 | -2.352625 | 1.681674 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 2.344892 | -1.401916 | 1.507260 | -0.669933 | 1.887293 | -1.066337 | -0.600791 | 2.344892 | -3.606210 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Shape | 27.919253 | 16.092330 | 27.919253 | -2.724023 | -0.123385 | 4.664330 | 17.833490 | 7.606990 | 1.978537 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Power | 18.754474 | 3.934004 | -0.682091 | 18.754474 | 12.742371 | 3.294148 | 1.365252 | -2.211175 | 2.419066 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 63.561314 | 63.561314 | 16.786825 | 6.123187 | 24.606318 | 8.312054 | 2.767411 | 5.563559 | 2.329897 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 64.617053 | 64.617053 | 16.808875 | 5.802556 | 18.858252 | 6.554047 | 3.952652 | 11.211004 | 4.804446 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 52.404962 | 52.404962 | 14.024416 | 7.054299 | 25.592433 | 11.964166 | 7.043945 | 17.402218 | 3.708083 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 56.791628 | 13.370008 | 56.791628 | 26.419293 | 3.046397 | 15.651503 | 21.168395 | 16.781306 | 14.166232 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 50.758409 | 10.979559 | 50.758409 | 27.109566 | 6.833385 | 21.524150 | 40.109085 | 13.623584 | 25.710256 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 56.337236 | 13.381121 | 56.337236 | 23.435760 | 5.938853 | 10.339963 | 20.939777 | 6.848332 | 21.511108 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 61.428683 | 15.576977 | 61.428683 | 47.277744 | 13.103098 | 7.106746 | 16.262246 | 3.991316 | 10.828909 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 55.048873 | 55.048873 | 14.164193 | 8.693937 | 30.395939 | 22.916508 | 14.331606 | 8.759806 | 3.239066 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 58.917504 | 58.917504 | 16.284678 | 8.223404 | 28.368176 | 11.873660 | 21.836539 | 12.660461 | 1.446482 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 68.606850 | 68.606850 | 18.006330 | 12.402455 | 40.230917 | 17.617778 | 10.121049 | 8.997816 | 2.151433 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 19.310930 | 12.595070 | 19.310930 | 7.749107 | 10.616789 | 3.276257 | 12.813566 | 9.555749 | 10.542098 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 74.431790 | 74.431790 | 18.689465 | 5.562075 | 19.553065 | 12.611812 | 64.417138 | 6.738339 | 1.885600 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 40.444500 | 11.051764 | 40.444500 | 9.024093 | -2.063640 | -0.086833 | 4.149220 | 0.982997 | 2.746680 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 24.694923 | 12.561934 | 24.694923 | 5.383451 | 7.947861 | 4.448146 | 19.624368 | 7.612694 | 9.454406 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Temporal Discontinuties | 8.223319 | 1.197900 | 0.483642 | 0.339982 | 1.209881 | 7.749533 | 3.619752 | 7.824970 | 8.223319 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 59.409662 | 59.409662 | 17.717871 | 8.675427 | 22.828250 | 23.346423 | 20.017337 | 5.609399 | 1.680786 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 10.847785 | -0.528327 | 2.331202 | 1.034823 | 2.494696 | 2.908447 | 0.025540 | 10.847785 | 0.494014 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 53.419160 | 10.770059 | 5.194868 | 5.140727 | 3.753900 | 22.385484 | 3.402081 | 53.419160 | 8.935116 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Discontinuties | 5.291149 | -0.170142 | 0.567378 | 1.096468 | 0.274095 | 1.175783 | 2.901261 | 5.192935 | 5.291149 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 82.167161 | 33.577095 | 82.167161 | 36.321250 | 7.407145 | 39.969056 | 32.927723 | 5.754150 | 7.186355 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 98.235320 | 98.235320 | 30.790504 | 8.540334 | 29.600012 | 22.676954 | 28.972621 | 12.046667 | 7.744878 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 67.281480 | 67.281480 | 27.201615 | 5.128245 | 31.856792 | 32.677817 | 36.768153 | 16.123007 | 12.127891 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 69.687964 | 24.410956 | 69.687964 | 35.985371 | 11.048916 | 24.731103 | 23.762066 | 1.090610 | 6.247627 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 60.965462 | 60.965462 | 25.732457 | 7.330228 | 40.274811 | 47.261068 | 49.123572 | 5.867358 | 7.751448 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 63.940896 | 63.940896 | 28.307427 | 4.769822 | 32.096094 | 27.145282 | 27.692186 | 1.696262 | 0.348970 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 59.606338 | 16.568850 | 59.606338 | 25.764612 | 9.509838 | 10.795935 | 17.610964 | 2.627274 | 5.044602 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 47.979873 | 47.979873 | 25.316024 | 4.743025 | 47.743096 | 38.948675 | 34.538390 | 29.202734 | 29.078752 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 46.629622 | 26.268310 | 46.629622 | 43.747996 | 6.490886 | 30.935693 | 41.910773 | 1.123709 | 6.942986 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 68.294408 | 68.294408 | 29.022402 | 5.633038 | 44.780715 | 27.137654 | 26.556899 | 3.346911 | -0.438293 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 58.182172 | 24.307713 | 58.182172 | 43.498284 | 4.293653 | 36.460189 | 37.052517 | 1.361227 | 1.571022 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | 53.458374 | 53.458374 | 19.327644 | 6.932672 | 43.742599 | 44.135913 | 46.831780 | 9.046676 | 7.703082 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Temporal Variability | 50.461144 | 50.190764 | 22.445403 | 4.445810 | 47.555119 | 50.461144 | 47.704914 | 13.808556 | 10.839774 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 181 | N13 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |